An Efficient Modeling Approach for Real-Time Monitoring System with Metadata Hierarchy

Real-time data access of a monitoring system is necessary for evaluation of its capacity to interact with real environments. A novel data organization and access model (NDOAM) is presented to the real-time monitoring system based on the metadata hierarchy. This model takes advantage of real-time database in main memory, mapping to the sensor data for equipment status. The model needs to maintain only little amount of information, and front application could quickly access real-time and historical data with the metadata mapping. At the same time, the complexity of the data mapping process is quite low. Simulation results show that the model improve the performance of data access, significantly decrease the number of I/O. Compared with traditional data organization and access model (TDOAM), it shows that the model actively supports distributed environment and the open industry standards, has a good effect on the environment of a large-scale real-time data objects compared with the existed models.